Shen Zhiwei, Dong Jingliang, Milton-McGurk Liam, Cai Xinyu, Gholizadeh Hanieh, Chan Hak-Kim, Lee Ann, Kourmatzis Agisilaos, Cheng Shaokoon
School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.
Institute for Sustainable Industries & Liveable Cities, Victoria University, P.O. Box 14428, Melbourne, VIC 3011, Australia; First Year College, Victoria University, Footscray Park Campus, Footscray, VIC 3011, Australia.
Comput Methods Programs Biomed. 2023 Nov;241:107778. doi: 10.1016/j.cmpb.2023.107778. Epub 2023 Aug 25.
An improved understanding of flow behaviour and particle deposition in the human nasal airway is useful for optimising drug delivery and assessing the implications of pollutants and toxin inhalation. The geometry of the human nasal cavity is inherently complex and presents challenges and manufacturing constraints in creating a geometrically realistic replica. Understanding how anatomical structures of the nasal airway affect flow will shed light on the mechanics underpinning flow regulation in the nasal pharynx and provide a means to interpret flow and particle deposition data conducted in a nasal replica or model that has reduced complexity in terms of their geometries. This study aims to elucidate the effects of sinus and reduced turbinate length on nasal flow and particle deposition efficiencies.
A complete nasal airway with maxillary sinus was first reconstructed using magnetic resonance imaging (MRI) scans obtained from a healthy human volunteer. The basic model was then modified to produce a model without the sinus, and another with reduced turbinate length. Computational fluid dynamics (CFD) was used to simulate flow in the nasal cavity using transient flow profiles with peak flow rates of 15 L/min, 35 L/min and 55 L/min. Particle deposition was investigated using discrete phase modelling (DPM).
Results from this study show that simplifying the nasal cavity by removing the maxillary sinus and curved sections of the meatus only has a minor effect on airflow. By mapping the spatial distribution of monodisperse particles (10 μm) in the three models using a grid map that consists of 30 grids, this work highlights the specific nasal airway locations where deposition efficiencies are highest, as observed within a single grid. It also shows that lower peak flow rates result in higher deposition differences in terms of location and deposition quantity, among the models. The highest difference in particle deposition among the three nasal models is ∼10%, and this is observed at the beginning of the middle meatus and the end of the pharynx, but is only limited to the 15 L/min peak flow rate case. Further work demonstrating how the outcome may be affected by a wider range of particle sizes, less specific to the pharmaceutical industries, is warranted.
A physical replica manufactured without sections of the middle meatus could still be adequate in producing useful data on the deposition efficiencies associated with an intranasal drug formulation and its delivery device.
更好地理解人类鼻腔气道内的气流行为和颗粒沉积,有助于优化药物递送,并评估吸入污染物和毒素的影响。人类鼻腔的几何结构本质上很复杂,在创建几何形状逼真的复制品时会带来挑战和制造限制。了解鼻腔气道的解剖结构如何影响气流,将有助于揭示鼻咽喉气流调节的力学原理,并提供一种方法来解释在几何形状复杂度降低的鼻腔复制品或模型中进行的气流和颗粒沉积数据。本研究旨在阐明鼻窦和鼻甲长度缩短对鼻腔气流和颗粒沉积效率的影响。
首先使用从一名健康人类志愿者获得的磁共振成像(MRI)扫描数据重建一个带有上颌窦的完整鼻腔气道。然后对基本模型进行修改,生成一个没有鼻窦的模型,以及另一个鼻甲长度缩短的模型。使用计算流体动力学(CFD),以15升/分钟、35升/分钟和55升/分钟的峰值流速的瞬态流型来模拟鼻腔内的气流。使用离散相模型(DPM)研究颗粒沉积情况。
本研究结果表明,通过去除上颌窦和鼻道的弯曲部分来简化鼻腔,对气流的影响较小。通过使用由30个网格组成的网格图来绘制三种模型中单分散颗粒(10微米)的空间分布,这项工作突出了在单个网格内观察到的沉积效率最高的特定鼻腔气道位置。研究还表明,较低的峰值流速在模型之间的位置和沉积量方面会导致更高的沉积差异。三种鼻腔模型之间颗粒沉积的最大差异约为10%,这在中鼻道开始处和咽末端观察到,但仅限于15升/分钟峰值流速的情况。有必要开展进一步的工作,以证明结果如何受到更广泛颗粒尺寸范围的影响,这对制药行业的针对性较低。
制造一个没有中鼻道部分的物理复制品,仍然可以产生与鼻内药物制剂及其递送装置相关的沉积效率的有用数据。